US2015235105A1PendingUtilityA1

Apparatus and method for rapidly detecting object of interest

Assignee: KOREA ELECTRONICS TELECOMMPriority: Feb 14, 2014Filed: Aug 27, 2014Published: Aug 20, 2015
Est. expiryFeb 14, 2034(~7.5 yrs left)· nominal 20-yr term from priority
H04N 7/18G06V 20/52G06K 9/6217G06N 99/005G06V 10/462G06V 30/2504G06T 2207/20092G06T 7/11G06F 18/21
42
PatentIndex Score
0
Cited by
0
References
0
Claims

Abstract

An apparatus for rapidly detecting an object of interest includes: a first object of interest detector configured to determine a region of an object of interest for an image, from which the object of interest is to be detected, by using a first training image; and a second object of interest detector configured to detect the object of interest from the region of the object of interest determined by the first object of interest detector by using a second training image, which is bigger in size than the first training image.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An apparatus for rapidly detecting an object of interest, the apparatus comprising:
 a first object of interest detector configured to determine a region of an object of interest for an image, from which the object of interest is to be detected, by using a first training image; and   a second object of interest detector configured to detect the object of interest from the region of the object of interest determined by the first object of interest detector by using a second training image,   wherein the first training image is smaller relative to the second training image for a rapid detection of the first object of interest detector, and the second training image is bigger relative to the first training image for an accurate detection of the second object of interest detector.   
     
     
         2 . The apparatus of  claim 1 , further comprising:
 a first training component configured to train image features to be used by the first object of interest detector to detect the object of interest, and to provide the first training image acquired as a result of the training to the first object of interest detector; and   a second training component configured to train image features to be used by the second object of interest to detect the object of interest, and to provide the second training image acquired as a result of the training to the second object of interest detector.   
     
     
         3 . The apparatus of  claim 1 , further comprising a preprocessor configured to preprocess an input image to acquire an image from which an object of interest is to be detected. 
     
     
         4 . The apparatus of  claim 3 , wherein the preprocessor preprocesses the input image by using at least one of noise removal, color space conversion, and size conversion. 
     
     
         5 . A method for rapidly detecting an object of interest, the method comprising:
 determining a region of an object of interest for an image, from which the object of interest is to be detected, by using a first training image; and   detecting the object of interest from the region of the object of interest determined by the first object of interest detector by using a second training image,   wherein the first training image is smaller relative to the second training image for a rapid detection of the first object of interest detector, and the second training image is bigger relative to the first training image for an accurate detection of the second object of interest detector.   
     
     
         6 . The method of  claim 5 , further comprising preprocessing an input image to acquire an image from which an object of interest is to be detected. 
     
     
         7 . The method of  claim 6 , wherein the preprocessing includes preprocessing the input image by using at least one of noise removal, color space conversion, and size conversion.

Join the waitlist — get patent alerts

Track US2015235105A1 — get alerts on status changes and closely related new filings.

We store only your email — no account needed. See our privacy policy.